Fig. 14: Stochastic simulation of ligand–receptor binding using the Gillespie algorithm. | npj Systems Biology and Applications

Fig. 14: Stochastic simulation of ligand–receptor binding using the Gillespie algorithm.

From: Asthma-mediated control of optic glioma growth via T cell-microglia interactions: A mathematical model

Fig. 14

Gillespie algorithm-based stochastic simulation of the reversible reaction \([{L}_{4}]+[{R}_{1}]\rightleftharpoons [\overline{{L}_{4}\cdot {R}_{1}}]\) (A), \([{L}_{4}]+[{R}_{2}]\rightleftharpoons [\overline{{L}_{4}\cdot {R}_{2}}]\) (B), and \([D]+[{R}_{2}]\rightleftharpoons [\overline{D\cdot {R}_{2}}]\) (C), showing intrinsic molecular noise around the deterministic mean.

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